Principal c/c++ engineer with DNS

This Is NOT a Typical Java Role If your experience is mostly CRUD APIs, controller wiring, or shallow service layers — this role is not for you. We are looking for a top tier backend engineer who thrives on: 

* Designing complex algorithms 

* Building high-performance, memory-efficient systems 

* Owning deep backend logic that actually moves the needle 

You will work close to the core engine of the product, not the edges.

What You’ll Be Trusted With 

* Architect and build backend systems that must perform under load 

* Design and implement custom algorithms for real-world, non-trivial problems 

* Solve performance bottlenecks involving CPU, memory, I/O, and concurrency 

* Build backend services where latency, throughput, and correctness matter 

* Own document & PDF processing pipelines end-to-end:     

-Composition     

-Rendering     

-Optimization     

- High-volume generation 

* Make hard technical decisions and stand by them

Non-Negotiable Skills 

* Exceptional Java expertise (Core Java, Spring Boot, Java 8+) 

* Strong command over:     

• Data structures & algorithms 
• Multithreading & concurrency models     
• JVM internals & memory management 

* Proven experience building custom algorithms (this will be evaluated) 

* Deep backend engineering experience with Spring / Spring Boot 

* Strong understanding of:     

• API design principles     
• Fault tolerance & resilience     
•  Performance tuning & profiling 

* Ability to reason about time complexity, space complexity, and trade-offs 

* Strong database fundamentals (query optimization, indexing, transactions) 

* Experience with message brokers (ActiveMQ, Kafka, RabbitMQ) 

* Exposure to Kubernetes-based deployments or large-scale microservices 

Interview Focus (Be Prepared) 

* Algorithm design & problem solving 

* Deep Java fundamentals 

* System design discussions (backend-heavy) 

* Performance tuning scenarios 

* Real-world debugging and optimization challenges

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

We are seeking a skilled Node.js + Python Developer to join our team. The successful candidate will be responsible for developing and maintaining web applications using Node.js and Python. The ideal candidate will have a strong understanding of both Node.js and Python, as well as web application development. Responsibilities:

Developing and maintaining web applications using Node.js and Python

Write clean and efficient code that adheres to Node.js and Python coding standards

Collaborate with other developers and team members to design and implement new features

Troubleshoot and debug issues in existing code

Create and maintain technical documentation

Requirements:

Strong knowledge of Node.js and Python

Familiarity with front-end technologies such as HTML, CSS, and JavaScript

Experience with MySQL/Mongo and database design

Good understanding of object-oriented programming and design patterns

Strong problem-solving skills and attention to detail

Good communication skills and ability to work in a team environment

Preferred Qualifications:

Experience with popular Node.js frameworks such as Express or Koa

Experience with OpenAi APIs

Knowledge of machine learning and data science libraries in Python such as TensorFlow, Scikit-learn, and Pandas

Experience with RESTful API development

Experience with payment gateway integrations

• Experience in Web and Mobile Applications.
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Strong proficiency with JavaScript (ECMAScript 5, 6)
• Knowledge of Node.js and frameworks available for it (SailsJS, Express)
• Understanding the nature of asynchronous programming and its quirks and workarounds.Familiarity with front-end technologies.
• User authentication and authorization between multiple systems, servers, and environments.
• Interaction with multiple data sources.
• Good understanding of SQL syntax.
• Understanding fundamental design principles behind a scalable application.
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
•  Implementing automated testing platforms and unit tests.
• Proficient understanding of code versioning tools, such as Git.
• Knowledge in the field of IOT is good to have.

• discussing clients’ requirements and proposed solutions with a senior developer (for developers at mid-skill level and below)
• writing and testing code
• collaborating with other developers
• using development tools (see below)

Development tools are used by software developers to write and test code, often as a team. Common development tools include:

• integrated development environments (eg Eclipse, IntelliJ): for writing and editing code
• source control management (eg Git, SVN, Mercurial): to enable teams to work together to manage changes to source code
• issue management systems (eg Jira): for managing a list of issues or improvements
• test driven development: for writing code to test your code